7Sage | Law School Admissions Predictor

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What do the categories mean?

Once you enter your numbers, we sort every school by your predicted odds of acceptance:

Safety

above a 70% chance of acceptance

Target

a 35–70% chance of acceptance

Reach

a 5–35% chance of acceptance

Super-reach

under a 5% chance of acceptance

A balanced application list includes schools from every category.

How our predictions work

Our predictor is powered by a machine-learning model trained on admissions outcomes reported by real applicants. Under the hood, gradient-boosted decision trees are blended with an ordered logistic model to estimate your probability of acceptance, waitlist, and rejection at each school.

The model's most important inputs are how your LSAT score and GPA compare to a school's most recent medians, along with your URM status and the school's rank group. Schools with enough reported outcomes also get their own dedicated model, which is blended with the global one.

Predictions are probabilities, not promises. The model can't see the parts of your application that admissions offices also weigh—essays, recommendations, work experience, and timing—so use it to build a balanced list rather than to rule schools in or out.

What else affects my chances?

Your LSAT score and GPA matter most: together they're a strong predictor of law school grades, and they feed the rankings that schools care about. As a rough rule of thumb, admissions is about 80% quantitative and 20% qualitative. If both your numbers beat a school's medians, your odds are good; if both fall below, you're facing an uphill battle.

Beyond the numbers, timing is the biggest lever. Our analysis of hundreds of thousands of applications shows that the same application fares significantly better early in the cycle than late—so apply as early as you can. Applying early decision gives a further boost, and essays, résumés, and recommendations count most when your numbers sit near a school's medians, where they're what breaks the tie.

Law school applications use the CAS GPA, not the GPA on your transcript.

Calculate your CAS GPA

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The predictor uses a machine-learning model—gradient-boosted decision trees blended with an ordered logistic model—trained on admissions outcomes reported by real applicants. It compares your LSAT score and GPA to each school's most recent medians, along with factors like URM status, to estimate your probability of acceptance, waitlist, and rejection at every ABA-accredited law school.

It depends on the school. Median LSAT scores range from the high 140s at the least selective schools to the mid 170s at the most selective, and median GPAs range from under 3.0 to above 3.9. Enter your numbers in the predictor to see how you compare at every school, or browse every school's medians on our LSAT, GPA & GRE page.

We categorize schools by your predicted odds of acceptance: a safety is a school where your odds are above 70%, a target is between 35% and 70%, a reach is between 5% and 35%, and a super-reach is below 5%. A balanced application list usually includes schools in each category.

The predictor is trained on thousands of real, self-reported admissions outcomes, and its probabilities reflect how applicants with numbers like yours actually fared. It can't account for everything an admissions office sees—essays, recommendations, work experience, or when in the cycle you apply—so treat its output as an estimate, not a guarantee.

Yes. The predictor is free to use and doesn't require an account. If you create a free 7Sage account, you can also star schools, track your applications, and follow decisions reported by other applicants in real time.

Law school admissions predictor

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